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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "datablinder" in publications use:'
type: software
license: MIT
title: 'datablinder: Synthetic Look-Alike Copies of Sensitive Data Files'
version: 0.1.0
abstract: Replaces the contents of a sensitive or proprietary data file with synthetic
  values while keeping the columns, classes, formats and file type identical, so that
  analysis code written against the anonymised copy runs unchanged on the real data.
  Intended for sharing the structure of a dataset with a collaborator or with an AI
  assistant (a large language model or LLM chatbot) without sharing its contents.
  Reads and writes delimited text, 'Excel', 'SPSS', 'Stata', 'RDS' and 'Parquet' files,
  and includes a local 'Shiny' app and a command line script. Reduces disclosure risk;
  it offers no formal privacy guarantee.
authors:
- family-names: Gallinat
  given-names: Alex
  email: baloo.142@gmail.com
preferred-citation:
  type: manual
  title: 'datablinder: Synthetic Look-Alike Copies of Sensitive Data Files'
  authors:
  - family-names: Gallinat
    given-names: Alex
    email: baloo.142@gmail.com
  year: '2026'
  notes: R package version 0.1.0
  url: https://agallinat.github.io/datablinder/
repository: https://agallinat.r-universe.dev
repository-code: https://github.com/agallinat/datablinder
commit: 995aacc9d0c0b5878c77bbdfd1f472fd29b2d440
url: https://agallinat.github.io/datablinder/
date-released: '2026-10-02'
contact:
- family-names: Gallinat
  given-names: Alex
  email: baloo.142@gmail.com